A survey of adversarial learning attacks and defenses for network intrusion detection, organized around data poisoning, test-time evasion, and reverse engineering, that finds the NIDS-specific niche remains small and under-resourced.
Black box attacks on deep anomaly detectors
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A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures
A survey of adversarial learning attacks and defenses for network intrusion detection, organized around data poisoning, test-time evasion, and reverse engineering, that finds the NIDS-specific niche remains small and under-resourced.